[HTML][HTML] Securing modern power systems: Implementing comprehensive strategies to enhance resilience and reliability against cyber-attacks

S Abdelkader, J Amissah, S Kinga, G Mugerwa… - Results in …, 2024 - Elsevier
Recent technological advancements in the energy sector, such as the proliferation of electric
vehicles, and smart power electronic devices, have substantially increased the demand for …

[HTML][HTML] A review on machine learning techniques for secured cyber-physical systems in smart grid networks

MK Hasan, RA Abdulkadir, S Islam, TR Gadekallu… - Energy Reports, 2024 - Elsevier
The smart grid (SG) is an advanced cyber-physical system (CPS) that integrates power grid
infrastructure with information and communication technologies (ICT). This integration …

Mitigating denial of service attacks in RPL-based IoT environments: trust-based approach

F Azzedin - IEEE Access, 2023 - ieeexplore.ieee.org
In domains such as telehealth, intelligent transportation, and autonomous agriculture,
ensuring secure routing of collected and exchanged data is paramount. Since its inception …

[PDF][PDF] Design of a Novel Deep Learning Methodology for IOT Botnet based Attack Detection

AK Jakkani, P Reddy, J Jhurani - International Journal on Recent …, 2023 - researchgate.net
The hackers take advantage of the rapid expansion of the Internet of Things (IoT) to launch
attacks on connected devices. There must be a reliable way to identify hostile attacks in …

FlowSpotter: Intelligent IoT Threat Detection via Imaging Network Flows

S Tan, D He, S Chan, M Guizani - IEEE Network, 2023 - ieeexplore.ieee.org
With the prevalence of Internet of Things (IoT) technologies, the huge growth of IoT devices
has also brought attention of cyber attackers. IoT botnets are rapidly spreading and evolving …

Modeling of botnet detection using chaotic binary Pelican Optimization Algorithm with deep learning on Internet of Things Environment

F Alrowais, MM Eltahir, SS Aljameel, R Marzouk… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, there are ample amounts of Internet of Things (IoT) devices interconnected to the
networks, and with technological improvement, cyberattacks and security threads, for …

[PDF][PDF] Selection of efficient machine learning algorithm on Bot-IoT dataset for intrusion detection in internet of things networks

I Kerrakchou, A Abou El Hassan, S Chadli… - Indonesian Journal of …, 2023 - academia.edu
With the growth of internet of things (IoT) systems, they have become the target of malicious
third parties. In order to counter this issue, realistic investigation and protection …

Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques

M Gelgi, Y Guan, S Arunachala, M Samba Siva Rao… - Sensors, 2024 - mdpi.com
Internet of Things (IoT) technology has become an inevitable part of our daily lives. With the
increase in usage of IoT Devices, manufacturers continuously develop IoT technology …

Analyzing and detecting Botnet Attacks using Anomaly Detection with Machine Learning

RB Ramesh, SJJ Thangaraj - 2023 5th International …, 2023 - ieeexplore.ieee.org
Botnet attacks have become a significant danger in the digital landscape, posing a
significant risk to personnel and public. The ability to detect and mitigate botnet attacks is …

[PDF][PDF] The Machine Learning Ensemble for Analyzing Internet of Things Networks: Botnet Detection and Device Identification.

SJ Han, SS Yoon, IC Euom - CMES-Computer Modeling in …, 2024 - cdn.techscience.cn
The rapid proliferation of Internet of Things (IoT) technology has facilitated automation
across various sectors. Nevertheless, this advancement has also resulted in a notable surge …